Eye On A.I. cover image

#232 Sepp Hochreiter: How LSTMs Power Modern AI System’s

Eye On A.I.

CHAPTER

Advancements in LSTM and XLSTM Technologies

This chapter explores the vanishing gradient problem and its implications for LSTM networks, highlighting their evolution and importance in language processing tasks. It introduces the XLSTM model, detailing enhancements such as exponential gating and increased memory capacity through Hopfield networks, which improve speed and efficiency for industrial applications. The discussion also touches on the transition to transformer architectures and the enduring relevance of LSTMs in specific environments, showcasing their applications in robotics and AI-driven technologies.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner